ICA 2007

ICA 2007
7th International Conference on
Independent Component Analysis
and Signal Separation

London, UK        9 - 12 September 2007

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Paper No: 54

A Batch Algorithm for Blind Source Separation of Acoustic Signals using ICA and Time-Frequency Mask

Author(s): Eugen Hoffmann, Dorothea Kolossa, Reinhold Orglmeister

Abstract

The Problem of Blind Source Separation (BSS) of convolved acoustic signals is of great interest for many classes of applications such as in-car speech recognition, hands-free telephony or hearing devices. Due to the convolutive mixing process, the source separation is performed in the frequency domain, using Independent Component Analysis (ICA). However the quality of solution of the ICA-algorithms can be improved by applying time-frequency masking. In this paper we present a batch-algorithm for time-frequency masking using the time-frequency structure of separated signals.

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